Find winning Amazon products with 14 battle-tested selection strategies & 6-dimension risk assessment. Backed by 200M+ product database. Powered by APIClaw API.

What It Does

Gives AI agents the ability to perform real-time Amazon product research:

🔍 Market Validation — Category size, concentration, new product rate
🎯 Product Selection — 14 built-in filter presets (beginner, fast-movers, emerging, etc.)
📊 Competitor Analysis — Brand/seller landscape, Chinese seller cases
⚠️ Risk Assessment — 6-dimension risk matrix with compliance alerts
💰 Pricing Strategy — Price band analysis, profit estimation
✍️ Listing Optimization — Competitor listing analysis, copy generation, diagnosis
📈 Daily Operations — Market monitoring, alert signals

Structure

apiclaw-analysis-skill/
├── SKILL.md                  # Main entry — intent routing, usage, evaluation criteria
├── references/
│   ├── reference.md            # API endpoints, fields, filters, scoring criteria
│   ├── scenarios-composite.md  # Comprehensive recommendations & Chinese seller cases
│   ├── scenarios-eval.md       # Product evaluation, risk, review analysis
│   ├── scenarios-pricing.md    # Pricing strategy, profit estimation, listing
│   ├── scenarios-ops.md        # Market monitoring, anomaly alerts
│   ├── scenarios-expand.md     # Expansion, trends, discontinuation
│   └── scenarios-listing.md   # Listing writing, optimization, diagnosis
└── scripts/
    └── apiclaw.py            # CLI script — 8 subcommands, 14 preset modes

Installation

Option 1: ClawHub (recommended for OpenClaw users)

npx clawhub install Amazon-analysis-skill

This installs the skill into ./skills/Amazon-analysis-skill/ under your current directory.

For OpenClaw: Run this command in your OpenClaw workspace directory (usually ~/.openclaw/workspace). The skill will be automatically loaded in your next session — no extra setup needed.

For other AI agents (Claude Code, etc.): After install, point your agent to the SKILL.md file in the installed directory.

Option 2: Manual Install

Clone this repo or download the files directly into your agent's skill directory.

Setup

Get an API Key at apiclaw.io/api-keys (format: hms_live_xxx)
Configure your key (choose one):
- Environment variable (recommended): export APICLAW_API_KEY='hms_live_xxx'
- Config file: Tell your AI agent your key — it saves to config.json automatically

Script Commands

Command	Description
`categories`	Query Amazon category tree
`market`	Market-level aggregate data
`products`	Product search with filters (14 preset modes)
`competitors`	Competitor lookup by keyword/brand/ASIN
`product`	Real-time single ASIN details
`report`	Full market report (composite workflow)
`opportunity`	Product opportunity discovery (composite workflow)
`check`	API connectivity self-check

Product Selection Modes

14 built-in presets for products --mode:

beginner · fast-movers · emerging · high-demand-low-barrier · single-variant · long-tail · underserved · new-release · fbm-friendly · low-price · broad-catalog · selective-catalog · speculative · top-bsr

Requirements

Python 3.8+ (stdlib only, no pip dependencies)
APIClaw API Key (get one here)

API Coverage

Endpoint	Description
`categories`	Amazon category tree navigation
`markets/search`	Market-level metrics (concentration, brand count, etc.)
`products/search`	Product search with 20+ filter parameters
`products/competitor-lookup`	Competitor discovery by keyword/brand/ASIN
`realtime/product`	Real-time product details (reviews, features, variants)

License

MIT